PXD015669

PXD015669 is an original dataset announced via ProteomeXchange.

Title	DirectMS1: MS/MS-free identification of 1000 proteins of cellular proteomes in 5 minutes
Description	Proteome characterization relies heavily on tandem mass spectrometry (MS/MS) and is thus associated with instrumentation complexity, lengthy analysis time, and limited duty-cycle. It was always tempting to implement approaches which do not require MS/MS, yet, they were constantly failing in achieving meaningful depth of quantitative proteome coverage within short experimental times, which is particular important for clinical or biomarker discovery applications. Here, we report on the first successful attempt to develop a truly MS/MS-free and label-free method for bottom-up proteomics. We demonstrate identification of 1000 protein groups for a standard HeLa cell line digest using 5-minute LC gradients. The amount of loaded sample was varied in a range from 1 ng to 500 ng, and the method demonstrated 10-fold higher sensitivity compared with the standard MS/MS-based approach. Due to significantly higher sequence coverage obtained by the developed method, it outperforms all popular MS/MS-based label-free quantitation approaches
HostingRepository	PRIDE
AnnounceDate	2020-02-27
AnnouncementXML	Submission_2020-02-27_01:00:06.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mark Ivanov
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationList	iodoacetamide derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2019-10-02 01:11:39	ID requested
⏵ 1	2020-02-27 01:04:34	announced

Ivanov MV, Bubis JA, Gorshkov V, Tarasova IA, Levitsky LI, Lobas AA, Solovyeva EM, Pridatchenko ML, Kjeldsen F, Gorshkov MV, DirectMS1: MS/MS-Free Identification of 1000 Proteins of Cellular Proteomes in 5 Minutes. Anal Chem, 92(6):4326-4333(2020) [pubmed]

submitter keyword: Mass Spectrometry, Protein Identification, DDA, MS1-only, QExactive HF, HeLa, Yeast

Mikhail Vladimirovich Gorshkov
contact affiliation	V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
contact email	mike.gorshkov@gmail.com
lab head
Mark Ivanov
contact affiliation	INEP CP RAS
contact email	markmipt@gmail.com
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/02/PXD015669

PRIDE project URI

• PRIDE
  1. PXD015669
     1. Label: PRIDE project
     2. Name: DirectMS1: MS/MS-free identification of 1000 proteins of cellular proteomes in 5 minutes